Hydrometeorological and gravity data from the Argentine-German Geodetic Observatory in La Plata

Mikolaj, Michal; Güntner, Andreas; Brunini, Claudio Antonio; Wziontek, Hartmut; Gende, Mauricio Alfredo; Schröder, Stephan; Pasquaré, Alfredo Oscar; Cassino, Augusto Martin; Reich, Marvin; Hartmann, Anne; Oreiro, Fernando Ariel; Pendiuk, Jonatan Emmanuel; Antokoletz, Ezequiel Darío; Guarracino, Luis

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Hydrometeorological and gravity data from the Argentine-German Geodetic Observatory in La Plata

Tipo de documento: Conjunto de datos

Resumen

The data set contains hydrological, meteorological and gravity time series collected at Argentine-German Geodetic Observatory (AGGO) in La Plata, Argentina. The hydrological series include soil moisture, temperature, electric conductivity, soil parameters, and groundwater variation. The meteorological time series comprise air temperature, humidity, pressure, wind speed, solar short- and long-waver radiation, and precipitation. The observed hydrometeorological parameters are extended by modelled value of evapotranspiration and water content variation in the zone between deepest soil moisture sensor and the groundwater level. Gravity products include large-scale hydrological, oceanic as well as atmospheric effects. These gravity effects are furthermore extended by local hydrological effects and gravity residuals suitable for comparison and evaluation of the model performance. Provided are directly observed values denoted as Level 1 product along with pre-processed series corrected for known issues (Level 2). Level 3 products are model outputs acquired using Level 2 data. The maximal temporal coverage of the data set ranges from May 2016 up to November 2018 with some exceptions for sensors and models set up in May 2017. The data set is organized in a database structure suitable for implementation in a relational database management system. All definitions and data tables are provided in separate text files allowing for traditional use without database installation.

Información general

Idioma del documento: Español

Fecha de creación: 2018

Institución de origen: Facultad de Ciencias Astronómicas y Geofísicas

Alcance geográfico: La Plata

Alcance temporal: 2016/05/07-2018/11/28

Descripción física: El conjunto de datos se compone de un archivo .zip que contiene los datos hidrometeorológicos y gravitacionales del Observatorio Geodésico Argentino-Alemán de La Plata.

Materiales/Técnicas: A first set of soil moisture and soil electric conductivity sensors was installed at the AGGO site in April 2016. Time-domain reflectometry (TDR) sensors were deployed in two soil pits. Each pit was equipped with two profiles (SM 1 and 2 in Fig. 1c on the north and south sides of the pit). The manually dug pits allowed for installation of sensors up to a maximum depth of 4.5 m. Eight (or 10) sensors at 5, 15, 30, (50), 70, (90), 150, 250, 350, and 450 cm were distributed in each profile. Photographs of the installation campaign including the pits prior and after installation are part of the data publication. Due to the marked sensitivity of the TDR method to the high electric conductivity of the clayey soil, shortened CS635 sensors had to be used to minimize the travel distance of the electromagnetic pulse and to assure sufficient power of the reflected signal. Despite the reduced sensor length, these TDR measurements suffer from high noise, leading to a considerable number of data points out of a physically plausible range. Therefore, a third soil pit with two profiles was equipped with SMT100 soil moisture and temperature sensors in March 2017. These sensors show significantly less noise. Only 0.1 % of the SMT100 recordings are missing or are out of range, while almost 14 % of the data points recorded by the TDR system had to be discarded. Furthermore, all soil moisture time series should be treated with caution in the first couple of months after installation due to the soil compaction processes going on in the refilled soil pits in the direct vicinity of the sensors. The raw TDR measurements were converted to soil moisture according to Topp et al. (1980). In the case of the SMT100 sensors, the provided soil moisture output values relying on the manufacturer's calibration were directly taken.